gpt-engineer vs GPT Pilot

gpt-engineer

Agents

GPT Pilot

Agents

Tagline

gpt-engineer

Describe software in natural language, watch an AI agent write, run, and improve it.

GPT Pilot

GPT Pilot is the core technology for the Pythagora VS Code extension that aims to provide an AI developer companion.

Pricing

gpt-engineer

Free· Free and open source under MIT license. Users pay only for the underlying LLM API calls (OpenAI, Anthropic, Azure OpenAI) or run local models at zero token cost.

GPT Pilot

Free

Platforms

gpt-engineer

—

GPT Pilot

vscode-extension

Open source

gpt-engineer

Yes · MIT

GPT Pilot

Yes · NOASSERTION

GitHub stars

gpt-engineer

54,998

checked 2026-10-29

GPT Pilot

33,644

checked 2026-10-29

Last GitHub push

gpt-engineer

2025-05-14

GPT Pilot

2026-06-18

First commit

gpt-engineer

2023-04

GPT Pilot

2023-08

Package downloads (30 d)

gpt-engineer

795 · pypi gpt-engineer

checked 2026-10-12

GPT Pilot

—

Model used

gpt-engineer

OpenAI GPT (default), Anthropic Claude, Azure OpenAI, and open-weights models like WizardCoder via configuration

GPT Pilot

Model-agnostic via OpenAI-compatible API (OpenAI GPT-4/4o, Anthropic Claude, Groq-hosted Llama, Azure OpenAI, OpenRouter)

Best for

gpt-engineer

Developers, researchers, and tinkerers who want a hackable, model-agnostic CLI coding agent they can script, fork, or benchmark without paying for a platform.

GPT Pilot

—

Not for

gpt-engineer

Teams needing an actively maintained, IDE-integrated agent for large production codebases — pick Aider, Cursor, Claude Code, or Cline instead.

GPT Pilot

—

Editorial score

gpt-engineer

—

GPT Pilot

—

Use cases

gpt-engineer

Greenfield script and prototype generationSmall single-file utility creation from a specIterative code improvement via improve modeCoding-agent research and benchmarking (APPS, MBPP)Teaching example for LLM agent loopsScriptable code generation in CI pipelinesLocal-model code generation with self-hosted LLMs

GPT Pilot

Generating fully working, production-ready appsAI developer companionWriting full features and debugging

Pros

gpt-engineer

• Fully open source (MIT) with a small, readable codebase that's easy to fork or study.
• Model-agnostic: swap OpenAI, Azure OpenAI, Anthropic, or local open-weights models.
• Zero platform cost — you pay only for tokens, or nothing at all with local models.
• Simple CLI-first workflow (`gpte <dir>`) that scripts and CI can call.
• Built-in improve mode for iterating on existing code, not just greenfield generation.
• Preprompt customization lets you retune agent behavior without patching source.
• Ships with benchmarking against APPS and MBPP for coding-agent research.

GPT Pilot

• GPT Pilot is the core technology for the Pythagora VS Code extension.
• GPT Pilot can write full features, debug them, and ask for review.
• GPT Pilot uses a built-in SQLite database by default.
• GPT Pilot supports OpenAI, Anthropic, Groq, Azure, and OpenRouter as LLM providers.
• GPT Pilot is an open-source tool.

Cons

gpt-engineer

• Repository was archived in April 2026 — no active maintenance, bug fixes, or new model support.
• Best suited to small greenfield projects; struggles on large multi-file codebases.
• No IDE integration — lives entirely in a terminal with a text prompt file.
• Requires bring-your-own API keys and manual configuration for non-OpenAI models.
• Python 3.10-3.12 only; older environments are unsupported.
• Newer agents (Aider, Cursor, Claude Code, Cline) have overtaken it on both quality and DX.

GPT Pilot

—

Website

gpt-engineer

github.com

GPT Pilot

github.com

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.